Specialist Solutions Architect - Data Engineering & Warehousing (Digital Native Business)
Core
Lead advanced technical strategy for customer data and AI initiatives, designing scalable data engineering and real-time analytics solutions on the Databricks platform.
Role type
Senior Solutions Architect (Data Engineering & Warehousing)
Builds
Production-grade data pipelines, lakehouse architectures, and real-time analytics solutions for enterprise customers
Domain
Data Engineering, Data Warehousing, Cloud Data Platforms
Deliverable
production ML models | product features
Required skills
Apache Spark ecosystem expertise, distributed data systems architecture, Python and SQL coding, cloud infrastructure design, data migration strategies, performance tuning, stakeholder management
Preferred skills
Data observability, security tools familiarity, competitive platform knowledge, industry domain expertise
Technologies
Apache Spark, Kafka, Databricks, AWS, Azure, GCP, Snowflake, Redshift, Synapse, EMR, Python, SQL
Responsibilities
Own end-to-end technical strategy from discovery to production deployment, lead complex architecture discussions, serve as trusted advisor to customer technical leads, drive platform adoption and consumption growth, orchestrate cross-functional resources, influence product direction
Seniority
Senior, hands-on IC